Tirth Patel

According to our database, Tirth Patel authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data.

Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic, Tirth Patel, Joe Duhamel, Sonja Kandel, Yasbanoo Moayedi, Michael Brudno, Andrew Hope, Heather Ross, Chris McIntosh

npj Digit. Medicine, 2024

KerasCV and KerasNLP: Vision and Language Power-Ups.

Matthew Watson, Divyashree Shivakumar Sreepathihalli, François Chollet, Martin Görner, Kiranbir Sodhia, Ramesh Sampath, Tirth Patel, Hai Jin, Neel Kovelamudi, Gabriel Rasskin, Samaneh Saadat, Luke Wood, Chen Qian, Jonathan Bischof, Ian Stenbit, Abheesht Sharma, Anshuman Mishra

CoRR, 2024

2023

Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer?

Ayushi Agarwal, Nisarg Patel, Neeraj Varshney, Mihir Parmar, Pavan Mallina, Aryan Bhavin Shah, Srihari Raju Sangaraju, Tirth Patel, Nihar Thakkar, Chitta Baral

CoRR, 2023

AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora.

Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!

Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt

Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

2022

A systematic literature review on Security of Unmanned Aerial Vehicle Systems.

Tirth Patel, Niyatiben Salot, Vrusha Parikh

CoRR, 2022

Automatic random variate generation in Python.

Christoph Baumgarten, Tirth Patel

Proceedings of the 21st Python in Science Conference 2022, 2022

2021

A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.

Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh, Katrina Rey-McIntyre, Shao-Hui Huang, Tirth Patel, Tony Tadic, Michael F. Milosevic, Fei-Fei Liu, Andrew Hope, Scott V. Bratman, Benjamin Haibe-Kains

CoRR, 2021

The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review.

Reza Reiazi, Engy Abbas, Petra Famiyeh, Aria Rezaie, Jennifer Y. Y. Kwan, Tirth Patel, Scott V. Bratman, Tony Tadic, Fei-Fei Liu, Benjamin Haibe-Kains

Comput. Biol. Medicine, 2021

2020

Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms.

Alberto Traverso, Ali Hosni-Abdalaty, Mohammad Hasan, Tony Tadic, Tirth Patel, Meredith Giuliani, John Kim, Jolie Ringash, John Cho, Scott V. Bratman, Andrew Bayley, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Douglas Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020